Closed John155 closed 2 years ago
Hi @John155,
Sorry for the late reply. Actually, each point in the dataset is described with 7 features: XYZ coordinates (3) + RGB values (3) + Semantic label (1) as described in the line below: https://github.com/POSTECH-CVLab/point-transformer/blob/8d2a38998f1ed8cd6d03fe1b671440724aa269c8/util/s3dis.py#L32
Hope this helps your understanding :).
I don't understand the structure of the dataset, how a point in the dataset is described. A point is described with 9 features. What are these features, and how can the network train with its own data set?